BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Although it is in PyTorch, our implementation performs loops across voxels and hence quite slow. Moreover, it takes masks as an input and therefore does not allow backpropagation.

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Abstract: In this article, we present an efficient unified algorithm for the minimum Euclidean distance between two collections of compact convex sets, each of which can be a collection of convex ...

This article presents a novel target tracking algorithm for hyperspectral low altitude UAV, combining deep learning with an improved Kernelized Correlation Filter (KCF). Initially, an image noise ...

The IMED is the Euclidean distance (ED) applied to a transformed version of an image or n-dimensional volume that has image-like correlation along axes. It solves some of the shortcommings of using ...

In dealing with high-dimensional data, such as the global climate model, facial data analysis, human gene distribution and so on, the problem of dimensionality reduction is often encountered, that is, ...